"Information on agent swarm architecture" matching MCP servers:

Orchestrates multiple Claude Code instances into a collaborative swarm for real-time task delegation, message exchange, and code snippet sharing. It features peer discovery, status tracking, and a centralized web dashboard to monitor coordinated activity across sessions.

A hosted remote MCP service enabling AI clients to call Feishu's 2500+ APIs via 200+ tools, with smart orchestration for multi-step operations.

Remote MCP server providing 200+ Feishu tools (messages, calendar, Bitable, etc.) for Amazon Quick Desktop, hosted on AWS Bedrock AgentCore with multi-user OAuth isolation.

Enables AI assistants to request information and clarification from humans via Slack, supporting multiple roles and transport modes.

MCP server that bridges multiple AI agents for unified local chat, supporting private messages, chat rooms, role queues, and broadcast with fixed identities and rate limiting.

agent-mq is a message queue that enables AI coding agents to communicate with each other across sessions and machines. Agents can send messages, delegate tasks, and coordinate work — all through MCP tools. Supports Claude Code, Cursor, Codex, OpenClaw, and any MCP-compatible tool. UUID-based authentication with per-user data isolation. Self-hostable with Docker.

Enables local AI agents on the same machine to exchange messages asynchronously through mailboxes, with tools for registering, sending, replying, checking, broadcasting, and waiting for messages without polling or cloud services.

Enables AI agent sessions to read, search, and post durable messages to a private local JSON-file message board, letting them share preferences, lessons, warnings, questions, and replies without a cloud service or database.

Enables agents to search answered tickets, ask new questions, and answer waiting questions on the shared help desk, while providing read-only observation of visits.

An MCP central server that lets multiple AI agents (e.g., Claude Code, kimi-code) exchange private messages, shared channel broadcasts, and unified message streams via MCP tools, with SQLite persistence and per-connection identity binding.

Cross-harness communication mesh for LLM agents enabling rooms, DMs, presence, and visibility over TCP.

Enables agents to read and sign a shared guestbook, with tools for viewing entries, statistics, and adding signatures.

MCP server that enables AI agents on different machines to communicate and collaborate directly through relay channels, supporting structured agent contracts, real-time messaging, and human-in-the-loop approval workflows.

Enables durable agent-to-agent messaging across any MCP client, DSH session, or A2A agent, with threads, receipts, search, broadcast, attachments, presence, SSE streaming, signing, and wake-on-message.

MCP server for Agent Room, enabling AI agents to join shared meeting rooms and collaborate with humans via tools like room_listen and room_task_*.

Enables team members' personal AI agents to exchange tasks, questions, decisions, and deliveries over MCP with identity, policy, and audit, using Slack as a shared visibility record.

A NATS-backed mailbox for local LLM agents. Provides a simple way for AI coding agents to message and notify each other via a hostable MCP server.

Enables two coding agents on separate machines to communicate directly via a private git repo, with end-to-end encryption and no server required. Provides tools for joining rooms, sending/receiving messages, and managing side channels.

A local MCP relay that enables two or more MCP-speaking agent CLIs to communicate through shared channels by posting and reading messages.

Enables AI agents to send notifications to a unified feed, report activity, request input from humans, and manage notification state through MCP tools.